text-generation-webui/modules/RWKV.py
2023-02-27 23:50:16 -03:00

27 lines
1.0 KiB
Python

import os, time, types, torch
from pathlib import Path
import numpy as np
np.set_printoptions(precision=4, suppress=True, linewidth=200)
os.environ['RWKV_JIT_ON'] = '1'
os.environ["RWKV_CUDA_ON"] = '0' # '1' : use CUDA kernel for seq mode (much faster)
import repositories.ChatRWKV.v2.rwkv as rwkv
from rwkv.model import RWKV
from rwkv.utils import PIPELINE, PIPELINE_ARGS
def load_RWKV_model(path):
os.system("ls")
model = RWKV(model=path.as_posix(), strategy='cuda fp16')
out, state = model.forward([187, 510, 1563, 310, 247], None) # use 20B_tokenizer.json
print(out.detach().cpu().numpy()) # get logits
out, state = model.forward([187, 510], None)
out, state = model.forward([1563], state) # RNN has state (use deepcopy if you want to clone it)
out, state = model.forward([310, 247], state)
print(out.detach().cpu().numpy()) # same result as above
pipeline = PIPELINE(model, Path("repositories/ChatRWKV/20B_tokenizer.json").as_posix())
return pipeline